# AGENTS.md vs Models.dev AGENTS.md records 245,457 monthly visits with +5.7% month-over-month growth and Free pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing. | Metric | [AGENTS.md](https://openaitools.app/tool/agents-md) | [Models.dev](https://openaitools.app/tool/models-dev) | | :--- | :--- | :--- | | Website URL | https://agents.md | https://models.dev | | Categories | AI Agent, AI Code Assistant, AI Developer Tools | AI Models, AI API, Open Source AI Models, AI Tools Directory | | Pricing Model | Free | Free | | Monthly Visits | 245,457 | 200,451 | | MoM Growth Rate | +5.7% | -3.9% | | Primary Market | United States | China | | Direct Visits | 156,868 | 136,316 | | Review Score | 4.7 | 4.4 | | Saved Count | 0 | 0 | | Supported Platforms | Website | Website | ## AGENTS.md AGENTS.md solves a very concrete problem: AI coding agents need operational context — how to install dependencies, run the dev server, execute tests, and respect project conventions — but stuffing all of that into a README makes the README worse for human contributors. AGENTS.md gives that guidance its own dedicated file, written in plain Markdown with no required schema, so agents find it reliably while READMEs stay short and human-friendly. Because it is just Markdown, there is nothing to install and no proprietary tooling to adopt. You add an AGENTS.md at the repository root, list the sections that matter for your project, and agents that support the convention read it automatically. In large monorepos you can place additional AGENTS.md files inside subpackages; agents read the nearest file in the directory tree, so the closest one wins and each package can ship tailored instructions. The format emerged from collaboration across the AI developer ecosystem — including OpenAI Codex, Amp, Google's Jules, Cursor and Factory — and is now stewarded by the Agentic AI Foundation under the Linux Foundation. It is used by over 60,000 open-source projects and supported by a long list of agents including Codex, Jules, Aider, goose, opencode, Zed, Warp, VS Code, Devin, Amp, Cursor, RooCode, Gemini CLI, Kilo Code and GitHub Copilot. **Pricing & Plans:** AGENTS.md is completely free and open. There is no paid tier, no account and no commercial product attached to the format. - **Plain Markdown, no schema:** There are no required fields or special syntax. Use any headings you like and the agent parses the text you provide. - **Cross-agent compatibility:** One AGENTS.md works across dozens of coding agents such as Codex, Cursor, Jules, Aider, Gemini CLI, Zed and Copilot. - **Nested files for monorepos:** Drop extra AGENTS.md files into subpackages; agents read the nearest file in the directory tree, so local instructions take precedence. - **Separation from README:** Keeps human-facing READMEs concise while giving agents the build, test and convention details they actually need. - **Community-governed open format:** Stewarded by the Agentic AI Foundation under the Linux Foundation, with no vendor lock-in. **Strengths:** Zero setup: it is just a Markdown file, no SDK or account needed; Works consistently across a large and growing set of coding agents; Nested support makes it practical for large monorepos; Governed by a neutral foundation, so no single vendor controls it **Limitations:** Agents vary in how fully they honor the instructions they read; Without discipline it can drift out of date like any documentation; No formal schema means structure differs substantially between projects [Profile (Markdown)](https://openaitools.app/tool/agents-md.md) ## Models.dev Models.dev exists to answer a very practical developer question: which model should I use, and what will it cost? The site organises every entry under a canonical identifier in the form provider/model, so the same model served by several providers can be compared directly rather than guessed at. Columns cover context window, maximum output, whether input and output are supported, reasoning, tool calling, structured output, temperature control, open versus closed weights, price per million tokens, and release and update dates. Because model releases move fast, the catalogue is built to stay current, with sortable and searchable tables that let you scan by lab or provider and filter down to what matters. Entries include both closed flagship models and open-weight alternatives, making it useful for cost planning as well as capability research. The project is open source and free to use, and it is intended to be consumed programmatically. Developers can pull the catalogue into their own tooling through a JSON API or a type-safe SDK, which makes it a practical backend for dashboards, routing logic, or internal cost calculators rather than just a reference page to browse. **Pricing & Plans:** Models.dev is free and open source. It is a reference database, so the prices it lists are the per-million-token rates charged by the model providers themselves, not a fee for using the site. - **Canonical model identifiers:** Every model uses a consistent provider/model format so the same model across providers can be compared directly. - **Specification comparison:** Side-by-side context window, output limit, reasoning, tool calling, structured output, and temperature support. - **Pricing transparency:** Input and output prices per million tokens listed alongside release and update dates. - **Open and closed models:** Covers closed flagship APIs and open-weight models from many labs in one sortable catalogue. - **Developer access:** Consume the catalogue through a JSON API or a type-safe SDK for your own tools and dashboards. **Strengths:** Free and open source with no account required; Consistent canonical identifiers make cross-provider comparison reliable; Covers pricing, limits, and capabilities in one sortable table; Available as a JSON API and type-safe SDK for programmatic use **Limitations:** It is a reference catalogue, not an inference or hosting service; Data quality depends on community and maintainer updates keeping pace with releases; Interface is aimed at developers and offers little guidance for non-technical users [Profile (Markdown)](https://openaitools.app/tool/models-dev.md) ## Frequently Asked Questions ### How do AGENTS.md and Models.dev compare in monthly traffic? AGENTS.md has 245,457 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? AGENTS.md has a month-over-month growth rate of +5.7%; Models.dev has -3.9%. ### How does pricing compare? AGENTS.md: Free. AGENTS.md is completely free and open. There is no paid tier, no account and no commercial product attached to the format. Models.dev: Free. Models.dev is free and open source. It is a reference database, so the prices it lists are the per-million-token rates charged by the model providers themselves, not a fee for using the site. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | An AI-native code editor that natively reads project rules and markdown instructions to guide its coding agent. | [.md](https://openaitools.app/tool/cursor.md) | | 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides an agentic development platform for parallel coding agents, but requires platform tooling rather than standard markdown files. | [.md](https://openaitools.app/tool/google-antigravity.md) | | 3 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | An extensible code editor supporting various AI assistant extensions, requiring manual setup rather than a universal agent file format. | [.md](https://openaitools.app/tool/vs-code.md) | | 4 | [Skillry](https://openaitools.app/tool/skillry) | 535,817 | +1,762.1% | Freemium | Supplies pre-packaged agent skills and instructions, but focuses on modular workflow templates rather than standard repository documentation files. | [.md](https://openaitools.app/tool/skillry.md) | | 5 | [SkillsMP — Agent Skills Marketplace](https://openaitools.app/tool/agent-skills-marketplace) | 470,744 | -3.7% | Free | Indexes open-source SKILL.md agent files, offering ready-to-use task definitions rather than a general project instruction file format. | [.md](https://openaitools.app/tool/agent-skills-marketplace.md) | | 6 | [mcp.so](https://openaitools.app/tool/mcp-server) | 286,704 | -3% | Free | Catalogs Model Context Protocol servers for external data integration, whereas AGENTS.md standardizes markdown guidelines for repository coding agents. | [.md](https://openaitools.app/tool/mcp-server.md) | | 7 | [Stork](https://openaitools.app/tool/stork) | 201,544 | +2.3% | Free | Includes model pricing trackers and developer news alongside tools directories, but less focused on raw API specs. | [.md](https://openaitools.app/tool/stork.md) | | 8 | [Cursor Directory](https://openaitools.app/tool/cursor-directory) | 125,466 | +5.3% | Free | Provides a community hub for sharing project rules and configurations for Cursor, compared to AGENTS.md's universal markdown convention. | [.md](https://openaitools.app/tool/cursor-directory.md) | | 9 | [InfraBase.ai](https://openaitools.app/tool/infrabase-ai) | 39,072 | -13.6% | Free | Catalogues and compares AI infrastructure tools and services across categories, but lacks deep per-token pricing tables. | [.md](https://openaitools.app/tool/infrabase-ai.md) | | 10 | [Agent Skills Hub](https://openaitools.app/tool/agent-skils-hub) | 28,753 | +34.3% | Freemium, Paid, Free | Open-source index for grading agent skills and developer tools, complementing AGENTS.md with discoverable agent capabilities. | [.md](https://openaitools.app/tool/agent-skils-hub.md) | --- Source: https://openaitools.app/compare/agents-md-vs-models-dev More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)